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Adobe AD0-E605 시험요강:

주제	소개
주제 1	Real-Time Customer Profile: Covers how profiles are assembled and composed, how the Identity Graph works, and the differences between edge and hub profiles.
주제 2	Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.
주제 3	Data Architecture: Covers translating RDBMS to Adobe RT-CDP's NoSQL model, best practices for profile modeling, and designing identity strategies and entity relationships.

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최신 Adobe Certified Expert AD0-E605 무료샘플문제 (Q21-Q26):

질문 # 21
What are characteristics of advanced data ingestion techniques in Adobe RT-CDP? (Select two.)

A. Leveraging machine learning for data normalization.
B. Using custom schemas for flexible data structures.
C. Mapping data directly to campaign activation rules.
D. Configuring ingestion workflows for hybrid batch and streaming use cases.

정답：B,D

질문 # 22
An Adobe Real-Time CDP (RTCDP) administrator would like to better control how downstream marketers enable segments for activations.
What next steps should the administrator take to better protect the dataset from being misused in activations?

A. Establish data usage labels across the Adobe RTCDP
B. Set entity limits across Adobe RTCDP components
C. Configure manual review of all activations
D. Lean on performance guardrails of the Adobe RTCDP

정답：A

질문 # 23
A company is looking to model their data architecture in Adobe Real-Time CDP that includes customer transactions across multiple platforms. What is the approach to define identity graph for a customer in Adobe Real-Time CDP to track a customer's activities across multiple platforms?

A. Define unique identity namespaces for each platform
B. Use a time-based merge policy for all platforms
C. Define common identity namespaces across platforms

정답：C

설명：
To successfully track a customer across multiple platforms (e.g., Web, Mobile App, and POS), theIdentity Servicemust be able to recognize that a value in one system refers to the same person as a value in another.
This is achieved by definingcommon identity namespaces.
For example, if the Web platform uses an email address to identify a user and the Mobile App also uses an email address, both should map to the standard "Email" namespace. If the platforms used different namespaces for the same data type (e.g., "Web_Email" vs "App_Email"), the Identity Service would treat them as unrelated entities, and theIdentity Graphwould fail to "stitch" the profiles together.
Using common namespaces allows the platform to build a comprehensive graph where various IDs (like a CRM ID, an Email, and an ECID) act as bridge points. When a user logs in on the web with an email and later logs into the app with that same email, the common namespace enables the Real-Time Customer Profile to merge their web browsing behavior with their app activity. Option B would result in fragmented, siloed profiles, defeating the purpose of a CDP. Option A refers toMerge Policies, which govern how data is prioritized during conflicts, but does not define how identities are linked in the graph.

질문 # 24
A data analyst needs to implement data governance in Adobe Real-Time CDP handling sensitive personal data and ensuring compliance with privacy regulations. What are the three most suitable actions to facilitate this process? (Choose three.)

A. Disable the ability to export personal data
B. Assign data usage labels to all non-sensitive datasets
C. Enable stricter access control to sensitive datasets using RBAC and ABAC
D. Start a privacy job request for sensitive datasets
E. Apply data usage labels to sensitive datasets

정답：C,D,E

설명：
Implementing data governance for sensitive personal data in Adobe Real-Time CDP requires a multi-layered approach involving labeling, access control, and privacy management.
The first step is applyingData Usage Labels (Option D)to sensitive datasets. These labels (such as PII or Sensitive) allow the system to identify which data points are subject to specific privacy regulations and govern how they are activated to downstream destinations.
Secondly,stricter access control (Option E)must be implemented usingRole-Based Access Control (RBAC) andAttribute-Based Access Control (ABAC). RBAC manages what a user can do (permissions), while ABAC manages what data a user can see based on labels applied to schemas and fields. This ensures that only authorized personnel can view or manipulate sensitive financial or personal records.
Finally, for ongoing compliance with regulations like GDPR or CCPA, the analyst must be able to process Privacy Job Requests (Option B). This involves using the Adobe Privacy Service to fulfill "Right to be Forgotten" or "Right to Access" requests by deleting or exporting specific profile data from the system.
Option A is counterproductive as non-sensitive data is rarely the priority for governance, and Option C is an over-restriction that would prevent legitimate business operations; instead, the platform uses policies to selectively restrict exports based on labels.

질문 # 25
A data architect for a global retailer wants to ingest batch data into Adobe Real-Time Customer Data Platform. The data consists of a large number of customer profiles that need to be loaded in bulk. The architect is also looking to reduce the load on the infrastructure while maintaining high throughput. Which method would the architect use to load batch data into the Adobe Real-Time CDP effectively?

A. Using the Adobe Real-Time Customer Data Platform directly without APIs
B. Using the Batch Ingestion API with specified batch sizes
C. Using a single HTTP API request to send a batch of messages

정답：B

설명：
For high-volume data loading, theBatch Ingestion APIis the architecturally sound choice for maintaining high throughput while managing system resources effectively. Unlike streaming ingestion, which processes messages individually, the Batch Ingestion API allows for the uploading of large data files (such as Parquet or JSON) that are processed as a single unit of work.
To optimize infrastructure load, the architect should utilizespecified batch sizes. Adobe Experience Platform provides a "Large File Upload" workflow within the Batch Ingestion API that allows developers to break a single large file into smaller chunks, which are then stitched together on the platform side. This prevent timeouts and memory issues on the client-side infrastructure while ensuring the platform's ingestion engine can process the data in a scalable manner.
Option A is incorrect because a single HTTP API request is typically used for streaming or small payloads, not bulk profile loading. Option B is not a technical method, as even the UI utilizes these underlying APIs. By leveraging the Batch Ingestion API, the retailer can ensure that millions of profile records are validated against XDM schemas and moved into theData LakeandReal-Time Customer Profilestore with high efficiency and robust error reporting.

질문 # 26
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